@article{(Open Science Index):https://publications.waset.org/pdf/10012441,
	  title     = {Data Collection in Hospital Emergencies: A Questionnaire Survey},
	  author    = {Nouha Mhimdi and  Wahiba Ben Abdessalem Karaa and  Henda Ben Ghezala},
	  country	= {},
	  institution	= {},
	  abstract     = {Many methods are used to collect data like questionnaires, surveys, focus group interviews. Or the collection of poor-quality data resulting, for example, from poorly designed questionnaires, the absence of good translators or interpreters, and the incorrect recording of data allow conclusions to be drawn that are not supported by the data or to focus only on the average effect of the program or policy. There are several solutions to avoid or minimize the most frequent errors, including obtaining expert advice on the design or adaptation of data collection instruments; or use technologies allowing better "anonymity" in the responses. In this context, and to overcome the aforementioned problems, we suggest in this paper an approach to achieve the collection of relevant data, by carrying out a large-scale questionnaire-based survey. We have been able to collect good quality, consistent and practical data on hospital emergencies to improve emergency services in hospitals, especially in the case of epidemics or pandemics.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {16},
	  number    = {3},
	  year      = {2022},
	  pages     = {48 - 53},
	  ee        = {https://publications.waset.org/pdf/10012441},
	  url   	= {https://publications.waset.org/vol/183},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 183, 2022},
	}